Visibility enhancement with single image fog removal scheme using a post-processing technique
Md. Imtiyaz Anwar, Arun Khosla, Gajendra Singh · 2017
Contrast and color of the captured images are degraded under bad weather conditions mostly in fog due to attenuation and airlight of the scene radiance coming towards the observer. To minimize road accidents through vision enhancement in turbid weather, an efficient visibility enhancement using fog removal technique plays a very significant role as fog greatly reduces the contrast and hence affects the Driver Assistance System (DAS) too. In this paper, an effective post-processing technique is proposed for visibility enhancement through fog removal using a single gray or a color image. The proposed algorithm is based on Dark Channel Prior (DCP) concept followed by a post-processing technique based visibility enhancement scheme for foggy images. Qualitative and quantitative analysis is applied for evaluation of defogged images obtained from the proposed methodology and is also compared with other well known methods to establish its efficiency. The proposed algorithm preserves sharp details and maintains the color quality of the defogged image.